Date of Award
Summer 8-2012
Degree Type
Thesis
Degree Name
M.S.
Degree Program
Computer Science
Department
Computer Science
Major Professor
Mahdi Abdelguefi
Second Advisor
Shengru Tu
Third Advisor
Golden Richard III
Fourth Advisor
Elias Ioup
Abstract
We have developed a new approach to annotate the uncertainty information of geospatial data. This framework is composed of a geospatial platform and the data with uncertainty. The framework supports geospatial sources such as Geography Markup Language (GML) with uncertainty information. The purpose of this framework is to integrate the uncertainty information of data from the application users and thereby ease the development of processing uncertainty information of geospatial data. Having well organized data and using this framework, the end-users can store the uncertainty information on the current geospatial data structure. For example, a GIS user can share the error information for environmental and geospatial data to others. We have also reported the enhanced geographic information system function.
Recommended Citation
Yang, Zhao, "A Framework to Annotate the Uncertainty for Geospatial Data" (2012). University of New Orleans Theses and Dissertations. 1528.
https://scholarworks.uno.edu/td/1528
Rights
The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.